Generate Insight Using Text Network Analysis

Text network analysis can be used to generate insight about any discourse or connected data. The basic appoach is to first identify the main clusters and the most influential nodes. This will provide a good overview of a discourse or a data set. The next step is to identify the structural gaps between these clusters that could be bridged.

This is referred to as "structural holes" in social sciences and usually those connections have a high potential for new ideas and innovation.

Check out this video to get a general idea:

Comparative Text Analysis: Finding Your Niche

One interesting approach is to compare the two texts together in order to see how they differ: what is contained in one of them that is missing from the other.

Imagine you have a research topic you're interested in and you want to know better what aspect of the topic you should focus on.

Using our SEO app, you could visualize Google search results for the topic as one graph and related search queries as another. You will then see these two graphs superimposed, so you can quickly find what exists in the search queries (demand), which is not yet in the search results (supply).

This way you can quickly identify an attractive and not very competitive niche to focus your efforts on.

Alternatively, if you wanted to sync with the discourse (e.g. put something out there that will be hype and understood well, but maybe a bit less innovative), it would make more sense to focus on the most prominent topics, but making sure that you bring something unique to the discourse by focusing on the periphery, the missing parts, and the structural gaps.

How to find your research niche using the SEO app:

Suppose you are interested in a certain topic and want to find out more about it. You can use our SEO app for it.

Start from typing some keywords that relate to your topic of interest. Then InfraNodus SEO app will visualize two graphs superimposed on each other: the graph of the top Google search results for this query (the existing discourse) and the graph of the top search queries related to your keyword phrase (what people are actually looking for).

Using these graphs you can quickly see what other keywords and topics are related to your original keyword phrase and how they are connected. You can also find the gaps in the current discourse: using the Insight / Structual Gap feature or the Insight / Missing Keywords feature. Here's how it works in a few slides:

First, add the keyword query that you are interested to explore. It can be your research topic or a general keyword phrase you want to explore the context for. For example, "topic modeling".

Create a new SEO graph

You will see two graphs superimposed: one that contains the top search results for the query (the existing discourse), the other one that contains the related search queries (the required discourse). Using the Analytics panel you can see what are the main topics related to that search query.

Network graph topic modeling of the search results and queries

You can select the most relevant keywords and topics on the graph and save them into your keywords list.

Add the most relevant keywords for your SEO strategy

You can add more related search keywords using the "+queries" field or more search results for a specific query using the "+results" field.

Add more results into the graph

The most interesting feature is the Missing Keywords: select this option to see what people search for (demand) but do not find (supply). In this case we see that using neural networks for topic modeling is demanded by users but is not represented in search results. So that could be a good niche to explore.

Find the unoccupied niche for your target keywords SEO strategy.

Try It Yourself

You can try this approach yourself using InfraNodus for any text or graph data:

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